/// <summary>
/// Create random samples, uniform between 0 and 1.
/// Faster than other methods but with reduced guarantees on randomness.
/// </summary>
public static double[] Uniform(int length)
{
if (length < 0)
{
throw new ArgumentOutOfRangeException(nameof(length));
}
return(SystemRandomSource.FastDoubles(length));
}
/// <summary>
/// Generate samples by sampling a function at samples from a probability distribution, uniform between 0 and 1.
/// Faster than other methods but with reduced guarantees on randomness.
/// </summary>
public static T[] UniformMap <T>(int length, Func <double, T> map)
{
if (length < 0)
{
throw new ArgumentOutOfRangeException(nameof(length));
}
var samples = SystemRandomSource.FastDoubles(length);
return(Map(samples, map));
}
/// <summary>
/// Generate samples by sampling a function at sample pairs from a probability distribution, uniform between 0 and 1.
/// Faster than other methods but with reduced guarantees on randomness.
/// </summary>
public static T[] UniformMap2 <T>(int length, Func <double, double, T> map)
{
if (length < 0)
{
throw new ArgumentOutOfRangeException("length");
}
var samples1 = SystemRandomSource.FastDoubles(length);
var samples2 = SystemRandomSource.FastDoubles(length);
return(Map2(samples1, samples2, map));
}